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Update app.py
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app.py
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@@ -1,11 +1,11 @@
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# Transformers and its models
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import transformers
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# For Image Processing
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from transformers import ViTImageProcessor
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# For Model
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from transformers import ViTModel, ViTConfig, pipeline
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import insightface
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from insightface.app import FaceAnalysis
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@@ -13,9 +13,9 @@ from insightface.app import FaceAnalysis
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from torchvision import transforms, datasets
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# For GPU
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from transformers import set_seed
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from torch.optim import AdamW
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from accelerate import Accelerator, notebook_launcher
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# For Data Loaders
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import datasets
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@@ -216,7 +216,7 @@ app.prepare(ctx_id=-1, det_size=(IMAGE_SHAPE, IMAGE_SHAPE)) # Use ctx_id=-1 if
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# Define the ML model - Evaluation function
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def prod_function(app, prod_path, webcam_path):
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webcam_img =
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webcam_emb = app.get(webcam_img, max_num=1)
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webcam_emb = webcam_emb[0].embedding
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# Transformers and its models
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#import transformers
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# For Image Processing
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#from transformers import ViTImageProcessor
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# For Model
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#from transformers import ViTModel, ViTConfig, pipeline
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import insightface
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from insightface.app import FaceAnalysis
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from torchvision import transforms, datasets
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# For GPU
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#from transformers import set_seed
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#from torch.optim import AdamW
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#from accelerate import Accelerator, notebook_launcher
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# For Data Loaders
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import datasets
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# Define the ML model - Evaluation function
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def prod_function(app, prod_path, webcam_path):
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webcam_img = Image.open(webcam_path)
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webcam_emb = app.get(webcam_img, max_num=1)
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webcam_emb = webcam_emb[0].embedding
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